An attempt to identify the production situations for major open-field vegetables

G. Ohara, K. Okada
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Abstract

To improve reliability in predicting times and volumes of market arrival of major open-field vegetables, we used all available data to identify the Japanese production situation of such vegetables. First, based on market statistics, we investigated the assumption that the production allocation of major open-field vegetables is climatically optimized. Then, we prepared prediction models for cultivation periods, based on cultivation samples. We also elucidated the characteristics of cultivation methods, by region and season; and the ranges of preferred cultivation temperatures, by vegetable type and growing stage. In addition, by optimizing the allocation of major open-field vegetables for climate conditions (using deviations from the ranges of preferred cultivation temperatures as indicators), we identified the production situations for in-season major open-field vegetables, for 10-day periods, by former municipality (based on the Agriculture and Forestry Census), based on production and market statistics. The deviations were calculated by subtracting the limits of preferred cultivation temperature ranges from the meteorological environments of given cultivation periods (back-calculated from the arrival date based on market statistics and cultivation period prediction models). Based on a static optimization algorithm, optimized production situations were identified by repeatedly selecting, as optimal solutions, the allocations with the smallest margins, from all possible land resource allocations. Although there are still issues to be resolved, the identified production situations were consistent with the available data, and can be considered sufficiently valid.
试图确定主要露天蔬菜的生产情况
为了提高预测主要露天蔬菜市场到达时间和数量的可靠性,我们使用了所有可用的数据来确定日本这类蔬菜的生产情况。首先,在市场统计的基础上,研究了主要露天蔬菜的生产配置是气候优化的假设。在此基础上,建立了基于栽培样本的栽培期预测模型。并按地区和季节阐述了栽培方法的特点;不同蔬菜类型和生长阶段的适宜栽培温度范围。此外,通过根据气候条件优化主要露天蔬菜的配置(使用偏好栽培温度范围的偏差作为指标),我们根据生产和市场统计数据,确定了按前城市(基于农林普查)为期10天的季节性主要露天蔬菜生产情况。偏差是通过减去给定栽培期气象环境(根据市场统计数据和栽培期预测模型从到货日期反向计算)的首选栽培温度范围的限制来计算的。基于静态优化算法,从所有可能的土地资源分配中反复选择边际最小的分配作为最优解,从而确定最优生产情况。虽然仍有问题有待解决,但已确定的生产情况与现有数据一致,可以认为是充分有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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